Skip to main content

Learn Power BI in 2 Months: Personalized Training to Kickstart Your Data Career

 

Learn Power BI in 2 Months: Personalized Training to Kickstart Your Data Career



Are you looking to break into the world of data analytics but don’t know where to start? Power BI is one of the most powerful and in-demand tools in today’s job market—and now you can master it in just 2 months with our personalized Power BI training program.


🚀 Why Learn Power BI?


Power BI is a business intelligence tool from Microsoft that helps you visualize your data and share insights across your organization. Whether you're a student, working professional, or aspiring freelancer, learning Power BI opens doors to roles like:

  • Data Analyst

  • Business Intelligence Developer

  • Reporting Analyst

  • Power BI Consultant


🎯 What Makes This Course Different?


We understand that everyone learns differently. That’s why we’ve designed this course to be flexible, practical, and beginner friendly.


🔑 Course Highlights:


One-on-One Classes
Personalized attention from your instructor ensures you learn at your pace and clear all your doubts in real time.

Flexible Timings
Busy schedule? No worries. Learn when it suits you.

Project-Based Learning
Theory alone doesn’t help—you’ll build real-world projects during the course to boost your portfolio.

Freelancing Guidance
Learn how to find your first Power BI freelance client and start earning online.


📘 Course Details:


  • Duration: 2 Months

  • Mode: Online (1:1 format)

  • Course Fee: ₹5000 only


💬 Who Is This For?


  • Students wanting to upskill for data jobs

  • Working professionals transitioning to analytics

  • Freelancers wanting to add a high-paying skill

  • Anyone who wants to make smarter decisions using data


PowerBI Topics will be covered in the course.


Beginner


  1. Introduction to Power BI
  2. Installing Power BI Desktop
  3. Understanding Power BI Interface
  4. Connecting to Data Sources
  5. Basic Data Loading
  6. Creating Simple Visualizations
  7. Using Slicers and Filters
  8. Basic Data Cleaning and Transformation
  9. Creating Bar and Column Charts
  10. Creating Line Charts
  11. Creating Pie and Donut Charts
  12. Creating Tables and Matrices
  13. Using Text Boxes and Shapes
  14. Saving and Publishing Reports
  15. Sharing Reports in Power BI Service
  16. Basic DAX Functions (SUM, AVERAGE)
  17. Creating Simple Measures
  18. Using Drill Down and Drill Through
  19. Creating and Formatting Dashboards
  20. Exporting Data from Power BI

Intermediate


  1. Intermediate DAX Functions (IF, SWITCH, CALCULATE)
  2. Creating and Using Calculated Columns
  3. Working with Date and Time Data
  4. Using Hierarchies in Visualizations
  5. Customizing Visuals with Formatting Options
  6. Creating and Using Bookmarks
  7. Using Themes and Custom Themes
  8. Data Modeling Basics
  9. Creating and Managing Relationships
  10. Using R and Python Scripts in Power BI
  11. Creating Maps and Geo Visualizations
  12. Using Power Query Editor for Data Transformation
  13. Creating and Using Dataflows
  14. Using Row-Level Security (RLS)
  15. Creating KPIs and Key Metrics
  16. Understanding and Using Q&A Visuals
  17. Scheduling Data Refresh
  18. Embedding Power BI Reports in Websites
  19. Power BI Mobile App
  20. Using the Power BI REST API
  21. DAX (UNION, UNIQUE)

Will Cover 10 PowerBI Projects in this course.

📢 How to Enroll?


Call me on - 7007881083 also WhatsApp

DM me on LinkedIn - https://www.linkedin.com/in/anurodhkumar/


Seats are limited to keep the experience personalized.

Comments

Popular posts from this blog

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics

Connecting Power BI to Azure Data Lake: Streamlining Big Data Analytics Azure Data Lake and Power BI provide a powerful combination for businesses to handle and analyze large datasets efficiently. Here’s a step-by-step breakdown of how connecting Power BI to Azure Data Lake helps streamline big data analytics. 1. What is Azure Data Lake? Azure Data Lake is a cloud-based storage solution designed to handle large volumes of structured and unstructured data. It provides highly scalable and cost-effective storage, making it an ideal choice for big data projects, data lakes, and large-scale analytics. 2. Benefits of Connecting Power BI to Azure Data Lake Handling Large Datasets : Power BI’s integration with Azure Data Lake allows users to work with large datasets without needing to import all the data into Power BI. Instead, users can connect and query data directly. Scalable Analytics : Azure Data Lake’s ability to scale horizontally ensures that it can handle growing volumes of data se...

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards

Leveraging Power BI's Bookmarks and Selections for Interactive Dashboards Bookmarks and Selections in Power BI are powerful features that can significantly enhance the interactivity and user experience of dashboards. Here's how you can use them effectively: 1. What are Bookmarks in Power BI? Bookmarks capture the current state of a report page, including: Visible or hidden visuals Filter states Slicer selections Sort order, drill state, and focus mode By saving different views of your report with bookmarks, you can create interactive storytelling, custom navigation, and dynamic reports. 2. What is the Selection Pane? The Selection Pane lets you control the visibility of report visuals. Using the pane, you can: Show or hide visuals based on user actions Layer visuals in an orderly manner to control how users interact with them Combine with bookmarks to toggle the visibility of different report components 3. Use Cases for Bookmarks and Selections Here are some common scenarios ...

Top 15 Microsoft Fabric Interview Questions and Answers[2025]

Top 15 Microsoft Fabric Interview Questions and Answers[2025] 1. What is Microsoft Fabric? ✅ Answer: Microsoft Fabric is an end-to-end, unified analytics platform that integrates data engineering, data science, real-time analytics, and business intelligence. It is built on OneLake , a unified data storage system, and supports Power BI, Synapse, and Data Factory for seamless data management. 2. What are the key components of Microsoft Fabric? ✅ Answer: Microsoft Fabric consists of the following components: Data Factory – For data integration and ETL. Synapse Data Engineering – Supports Spark-based big data processing. Synapse Data Science – For AI/ML model development. Synapse Data Warehouse – Serverless and dedicated SQL-based data storage. Synapse Real-Time Analytics – Handles streaming and IoT data. Power BI – For business intelligence and visualization. OneLake – A single storage layer across all workloads. 3. How does Microsoft Fabric differ from Azure Synapse Analytics? ✅ A...